Quantitative Analyst

Quantitative Analyst

Location: Hyderabad, Andhra Pradesh

Work Mode: Hybrid

Employment Type: Full-Time

Experience: 0–2 Years / Exceptional Fresh Graduates Welcome

About the Role

UCO Business is looking for a highly analytical and intellectually curious Quantitative Analyst to join our growing team.

The role is suited to someone who enjoys working with data, statistics, mathematical models and complex business problems, and who can translate quantitative findings into clear commercial insights.

You will work across data analysis, quantitative research, forecasting, modelling and decision-support initiatives within UCO Business.

We are particularly interested in candidates with strong foundations in mathematics, statistics, computer science, economics, finance, engineering or another highly quantitative discipline.

Exceptional fresh graduates with strong analytical and programming ability are encouraged to apply.

Key Responsibilities

Analyse structured and unstructured datasets to identify patterns, relationships, anomalies and actionable insights.

Build quantitative models to support forecasting, planning and business decision-making.

Conduct statistical analysis and hypothesis testing.

Develop analytical models using Python, SQL and related quantitative tools.

Work with large datasets and perform data cleaning, transformation and validation.

Build dashboards, reports and analytical summaries for internal stakeholders.

Develop forecasting and predictive models where appropriate.

Conduct time-series analysis and trend modelling.

Evaluate the performance and reliability of quantitative models.

Assist with financial, market, operational and commercial modelling.

Research new analytical methodologies, datasets and quantitative techniques.

Automate recurring analytical workflows and reporting processes.

Translate complex quantitative findings into clear recommendations for non-technical stakeholders.

Work collaboratively with business, technology, marketing and management teams.

Maintain clear documentation for datasets, methodologies, assumptions and model outputs.

Continuously improve analytical processes, data quality and model accuracy.

Required Skills

Strong analytical and numerical reasoning.

Good understanding of probability and statistics.

Working knowledge of Python.

Ability to work with SQL and structured datasets.

Familiarity with Python libraries such as Pandas and NumPy.

Understanding of statistical modelling and quantitative analysis.

Strong Microsoft Excel or equivalent spreadsheet skills.

Ability to interpret data and communicate findings clearly.

Strong problem-solving skills.

Excellent attention to detail.

Ability to learn unfamiliar quantitative concepts independently.

Preferred Skills

Knowledge or experience in any of the following would be advantageous:

Machine learning

Time-series analysis

Financial modelling

Econometrics

Forecasting

Data visualisation

Power BI or similar BI tools

Risk analysis

Optimisation

Quantitative finance

Financial markets

R

Cloud-based analytics platforms

Educational Background

We welcome applicants with Bachelor's or Master's degrees in areas such as:

Mathematics

Statistics

Computer Science

Data Science

Artificial Intelligence

Economics

Econometrics

Finance

Financial Engineering

Engineering

Physics

Business Analytics

or another quantitatively rigorous discipline.

Experience

This is an early-career opportunity.

Candidates with 0–2 years of professional experience are encouraged to apply.

Strong fresh graduates with relevant academic projects, independent research, quantitative projects, programming portfolios or internships will also be considered.

We value analytical ability, curiosity and learning capacity more than the number of years already spent in industry.

What We Look For

We are looking for someone who:

genuinely enjoys solving difficult problems;

questions assumptions rather than simply accepting outputs;

approaches problems logically and methodically;

can explain complex ideas in simple language;

is comfortable learning independently;

takes ownership of their work;

demonstrates intellectual curiosity; and

cares about accuracy and evidence.

Work Environment

The position operates on a hybrid working model, combining office-based collaboration in Guntur with remote working flexibility.

Candidates should therefore either be based in Hyderabad, Andhra Pradesh or Milton Keynes, England.

Application

Candidates should submit a CV highlighting relevant education, quantitative coursework, projects, programming experience, internships or professional experience.

Links to LinkedIn, GitHub repositories, analytical projects, research papers, Kaggle profiles or other relevant portfolios are welcome.

UCO Business

ucobusiness.com